| --- |
| library_name: transformers |
| license: mit |
| base_model: NIRVLab/bartede |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: ViEde |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # ViEde |
|
|
| This model is a fine-tuned version of [NIRVLab/bartede](https://huggingface.co/NIRVLab/bartede) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4809 |
| - Bleu: 22.833 |
| - Chrf++: 46.2491 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 100 |
| - eval_batch_size: 100 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf++ | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 0.273 | 1.0 | 2080 | 0.4809 | 22.833 | 46.2491 | |
| | 0.1331 | 2.0 | 4160 | 0.5284 | 24.6028 | 48.483 | |
| | 0.0964 | 3.0 | 6240 | 0.5543 | 25.6692 | 49.2306 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.57.6 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
